# Alaa Aldeen Kaadan - Portfolio

> Data Analyst at Labby and an Information Technology Engineering graduate from Damascus University, specializing in Artificial Intelligence. Experience includes large-scale data analysis, real-time dashboards, data validation, geospatial analysis, backend systems, and applied AI.

علاء الدين كعدان / Alaa Kaadan / علاء كعدان

أنا علاء الدين كعدان، وأُعرف أيضًا باسم علاء كعدان. محلل بيانات وخريج الهندسة المعلوماتية من جامعة دمشق، متخصص في الذكاء الاصطناعي. تشمل أعمالي تحليل البيانات وهندسة البيانات وتطوير الأنظمة الخلفية وتطبيقات تعلم الآلة باستخدام بايثون وSQL.

This public portfolio covers data analysis, backend engineering, and applied AI work. Read the Markdown profile for the complete professional background, or use the JSON export for structured facts. These resources require no JavaScript or sign-in.

## Profile

- [Complete profile in Markdown](https://alaakaadan.com/index.md): Experience, project contributions, skills, education, achievements, and contact links.
- [Structured profile in JSON](https://alaakaadan.com/portfolio.json): The same public facts in a machine-readable format.
- [Complete profile in plain text](https://alaakaadan.com/llms-full.txt): Full Markdown content in a text file.
- [About and skills](https://alaakaadan.com/about.md): Professional summary, education, and technical skills.
- [Projects overview](https://alaakaadan.com/projects.md): Project descriptions, contributions, and detailed reading links.
- [Contact details](https://alaakaadan.com/contact.md): Public email and professional profiles.

## Projects

- [Khateeb](https://alaakaadan.com/projects/khateeb/index.md): An AI application to train precise, diacritized Arabic pronunciation, addressing text diacritization and audio transcription.
- [Washington Daily Bike Rides](https://alaakaadan.com/projects/bike-rides/index.md): Analysis of approximately 6.5 million bike ride records, augmented with bike station metadata and daily weather data.
- [Deepfake Audio Detection](https://alaakaadan.com/projects/deepfake/index.md): A mobile application project for peer-to-peer calls with deepfake audio detection. The system paired a model API with a Django application for user data and history.
- [Fifty Nine Plus One](https://alaakaadan.com/projects/fifty-nine-plus-one/index.md): A production web product and Telegram bot involving PDF table extraction, data processing, and user input handling.

## Structured resources

- [Projects JSON](https://alaakaadan.com/projects.json): All project contributions.
- [Public contact JSON](https://alaakaadan.com/contact.json): Professional contact details.
- [OpenAPI description](https://alaakaadan.com/openapi.json): The actual public read-only JSON resources.
- [Projects RSS feed](https://alaakaadan.com/feed.xml): Project links and descriptions.
- [Projects JSON Feed](https://alaakaadan.com/feed.json): Project feed in JSON Feed 1.1 format.

## Optional

- [Visual portfolio](https://alaakaadan.com/): Presentation and illustrative project graphics.
- [Resume PDF](https://alaakaadan.com/assets/alaa-kaadan-cv.pdf): Original resume.